1. A system for measuring physiological response to stress, comprising: a non-invasive sensor configured to detect at least one physiological parameter indicative of a stress response; a processing unit coupled to the sensor, the processing unit configured to receive data from the sensor and determine a stress level based on the received data; and a display unit configured to present the determined stress level to a user.

2. The system of claim 1, wherein the non-invasive sensor is selected from the group consisting of: a skin conductance sensor, a heart rate monitor, a pulse oximeter, a temperature sensor, and a respiration rate monitor.

3. The system of claim 1, further comprising: a communication module configured to transmit the determined stress level to a remote server for analysis.

4. The system of claim 1, wherein the processing unit further comprises: a memory unit storing a database of baseline physiological parameters, the processing unit comparing the received data to the baseline parameters to determine the stress level.

5. The system of claim 1, wherein the display unit further provides recommendations to the user for stress reduction based on the determined stress level.

6. A method for measuring physiological response to stress, the method comprising the steps of: detecting at least one physiological parameter indicative of a stress response using a non-invasive sensor; transmitting the detected parameter to a processing unit; determining a stress level based on the received parameter data; and displaying the determined stress level to a user.

7. The method of claim 6, further comprising the step of: comparing the detected physiological parameter with a database of baseline physiological parameters to determine the stress level.

8. The method of claim 6, further comprising the step of: transmitting the determined stress level to a remote server for further analysis.

9. The method of claim 6, wherein the step of detecting the physiological parameter comprises: monitoring the user's skin conductance, heart rate, oxygen saturation, body temperature, or respiration rate.

10. The method of claim 6, further comprising the step of: providing recommendations to the user for stress reduction based on the determined stress level. NON-INVASIVE DEVICE FOR MEASURING PHYSIOLOGICAL RESPONSE TO STRESS Abstract A system designed to evaluate an individual's physiological response to stress. This innovative system encompasses a non-invasive sensor, adept at capturing one or more physiological parameters that typify a stress response. In tandem with the sensor, a processing unit is integrated, proficiently interpreting the sensor data to ascertain a stress level. The determined stress level is subsequently visualized for the user via a dedicated display unit, providing real-time feedback on their physiological state in response to stressors. , Claims:Claims :

1. A system for measuring physiological response to stress, comprising: a non-invasive sensor configured to detect at least one physiological parameter indicative of a stress response; a processing unit coupled to the sensor, the processing unit configured to receive data from the sensor and determine a stress level based on the received data; and a display unit configured to present the determined stress level to a user.

2. The system of claim 1, wherein the non-invasive sensor is selected from the group consisting of: a skin conductance sensor, a heart rate monitor, a pulse oximeter, a temperature sensor, and a respiration rate monitor.

3. The system of claim 1, further comprising: a communication module configured to transmit the determined stress level to a remote server for analysis.

4. The system of claim 1, wherein the processing unit further comprises: a memory unit storing a database of baseline physiological parameters, the processing unit comparing the received data to the baseline parameters to determine the stress level.

5. The system of claim 1, wherein the display unit further provides recommendations to the user for stress reduction based on the determined stress level.

6. A method for measuring physiological response to stress, the method comprising the steps of: detecting at least one physiological parameter indicative of a stress response using a non-invasive sensor; transmitting the detected parameter to a processing unit; determining a stress level based on the received parameter data; and displaying the determined stress level to a user.

7. The method of claim 6, further comprising the step of: comparing the detected physiological parameter with a database of baseline physiological parameters to determine the stress level.

8. The method of claim 6, further comprising the step of: transmitting the determined stress level to a remote server for further analysis.

9. The method of claim 6, wherein the step of detecting the physiological parameter comprises: monitoring the user's skin conductance, heart rate, oxygen saturation, body temperature, or respiration rate.

10. The method of claim 6, further comprising the step of: providing recommendations to the user for stress reduction based on the determined stress level.

Description:NON-INVASIVE DEVICE FOR MEASURING PHYSIOLOGICAL RESPONSE TO STRESS
Field of the Invention
[0001] The present invention relates generally to medical diagnostic devices, and more specifically, to a non-invasive device designed to measure and analyze physiological responses resulting from stress. The device incorporates multi-modal sensors and analytic methods to detect, quantify, and interpret indicators of stress by assessing various physiological parameters. These parameters may include but are not limited to heart rate variability, skin conductance, pupil dilation, respiratory rate, and cortisol levels detected non-invasively from the skin surface. By providing real-time data and insights, the invention offers an objective evaluation of an individual's stress levels, which can aid in therapeutic interventions, monitoring, and personal well-being assessments.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] In the fast-paced and demanding modern world, stress has become a prevalent issue affecting physical and mental health. The ability to accurately measure physiological responses to stress is crucial for understanding its impact and developing effective stress management strategies. Non-invasive devices for measuring physiological responses to stress have gained significant attention due to their potential to provide real-time data without causing discomfort to the user. These devices utilize various technologies to monitor parameters such as heart rate, skin conductance, and respiratory rate, among others, offering valuable insights into an individual's stress levels.
[0004] Non-invasive devices that measure heart rate in response to stress have been widely used. Examples include wrist-worn fitness trackers equipped with photoplethysmography (PPG) sensors. These sensors detect changes in blood volume by illuminating the skin and measuring light absorption. By analyzing heart rate variability, these devices can indicate stress levels. Prior art in this category includes Fitbit's heart rate monitoring technology used in their wearable devices.
[0005] Another approach involves measuring skin conductance, which is a physiological response influenced by stress. The electrical conductivity of the skin changes when an individual experiences stress. Devices using galvanic skin response (GSR) sensors, such as Empatica's Embrace smartwatch, can detect variations in skin conductance and provide insights into stress levels. This technology has been used in the medical field and research studies to assess stress-induced responses.
[0006] Devices that monitor respiratory rate can also offer insights into stress levels. During stress, breathing patterns often change. Non-invasive respiratory rate monitors, like those developed by Resperate, utilize chest or abdominal bands to measure breathing rate and depth. These devices guide users through breathing exercises to reduce stress, making them a valuable tool for stress management.
[0007] Electroencephalography (EEG) devices delve into brainwave activity to assess stress. EEG headbands, such as Muse, use electrodes to record electrical signals from the brain's surface. Specific patterns in brainwave activity can indicate stress levels. These devices often incorporate meditation and mindfulness exercises to help users regulate stress responses.
[0008] Thermal imaging technology has been explored to assess physiological responses to stress. Stress can cause changes in skin temperature due to altered blood flow. Devices like FLIR's thermal cameras can detect these temperature variations, providing insights into stress-induced changes in peripheral circulation.
[0009] There's a growing trend towards developing devices that integrate multiple sensors for a comprehensive assessment of stress. These devices combine heart rate, skin conductance, temperature, and other parameters to provide a more holistic view of physiological responses to stress. The Spire Stone, for example, combines respiration and movement sensing to monitor stress and offer guided breathing exercises.
[00010] While not hardware devices per se, mobile applications that leverage smartphone sensors have also emerged to measure stress. These apps use accelerometers to detect motion, microphones to analyze speech patterns, and front-facing cameras to monitor facial expressions for signs of stress. These apps often provide immediate feedback and tips for stress reduction.
[00011] In conclusion, the development of non-invasive devices for measuring physiological responses to stress has made remarkable progress. From heart rate monitors to EEG devices, these technologies provide valuable insights into an individual's stress levels, enabling effective stress management and promoting overall well-being. The prior art examples mentioned above demonstrate the diverse range of approaches taken to tackle this significant health challenge. As technology continues to advance, we can expect further innovation in this field, leading to more accurate and user-friendly devices for stress measurement and management.
[00012]
[00013] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
Summary
[00014] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00015] The present invention relates generally to medical diagnostic devices, and more specifically, to a non-invasive device designed to measure and analyze physiological responses resulting from stress. The device incorporates multi-modal sensors and analytic methods to detect, quantify, and interpret indicators of stress by assessing various physiological parameters. These parameters may include but are not limited to heart rate variability, skin conductance, pupil dilation, respiratory rate, and cortisol levels detected non-invasively from the skin surface. By providing real-time data and insights, the invention offers an objective evaluation of an individual's stress levels, which can aid in therapeutic interventions, monitoring, and personal well-being assessments.
[00016] The unveiled system is a pioneering solution designed to measure and understand physiological responses to stress, offering a non-invasive gateway into the intricacies of the human body's stress dynamics. This innovative system amalgamates cutting-edge technologies, transforming physiological signals into actionable insights for users seeking to manage their stress levels effectively.
[00017] At its core, the system's essence is encapsulated within the non-invasive sensor. This sensor, carefully designed, has the capability to detect a range of physiological parameters that serve as telltale signs of stress responses. The parameters include skin conductance, heart rate, pulse oximetry, temperature, and respiration rate, forming an intricate tapestry of physiological data.
[00018] The processing unit stands as a cerebral hub, seamlessly interfacing with the sensor to process and decipher the incoming data. Through intricate algorithms, this processing unit unveils the underlying stress level based on the physiological responses detected. This real-time analysis bridges the gap between data and insight, offering users immediate feedback on their stress levels.
[00019] The system's user-centric approach is highlighted by the display unit. This unit serves as a visual conduit, presenting the determined stress level to the user in an intuitive and comprehensible manner. This presentation not only raises awareness but also enables users to take proactive steps towards managing their stress.
[00020] The system's versatility is underlined by its support for various non-invasive sensors. These sensors, including skin conductance, heart rate monitors, pulse oximeters, temperature sensors, and respiration rate monitors, cater to a spectrum of physiological responses, enriching the accuracy and granularity of stress measurement.
[00021] Further enriching the system's potential is the incorporation of a communication module. This module enables the transmission of determined stress levels to a remote server, facilitating comprehensive analysis that can offer deeper insights into the user's stress patterns over time.
[00022] The processing unit's sophistication is underscored by its integration of a memory unit storing baseline physiological parameters. This repository of baseline data becomes the touchstone against which incoming physiological data is compared. By contrasting real-time data against baseline parameters, the processing unit derives a comprehensive stress assessment.
[00023] As a testament to user-centric design, the display unit extends beyond stress level presentation. It goes the extra mile by offering recommendations to users for stress reduction, based on the detected stress level. These personalized suggestions empower users to take proactive measures towards managing their stress effectively.
[00024] In essence, the system for measuring physiological response to stress embodies a marriage of advanced technology and human well-being. By amalgamating non-invasive sensing, data processing, visual presentation, and even remote analysis, it pioneers a path towards stress awareness and management. This system not only enhances self-awareness but also catalyzes a journey towards holistic well-being by empowering users to take control of their stress responses.
[00025] The unveiled method presents a groundbreaking approach to gauging and understanding physiological responses to stress, offering an avenue for users to grasp their stress levels through a comprehensive and user-friendly framework. This innovative method harmonizes state-of-the-art technologies, allowing users to gain insights into their stress dynamics effortlessly.
[00026] The method's essence initiates with the non-invasive sensor, a pivotal gateway to unraveling physiological responses. This sensor adeptly detects specific physiological parameters that serve as indicators of stress responses. These encompass an array of parameters including skin conductance, heart rate, oxygen saturation, body temperature, and respiration rate, constructing a multidimensional tapestry of physiological data.
[00027] The relay of data from the sensor to the processing unit marks a transformative juncture. The processing unit becomes the cerebral core, orchestrating intricate algorithms to decode the incoming physiological data. This real-time analysis unfolds the underlying stress level based on the detected physiological responses, bridging the chasm between raw data and actionable insights.
[00028] The method's embodiment of user-centricity lies within the display of stress levels. The processing unit's output is meticulously presented to users through an intuitive and comprehensible display. This real-time feedback not only raises awareness but also empowers users to actively manage their stress levels.
[00029] The method's adaptability surfaces through additional features. One such feature involves comparing the detected physiological parameter against a database of baseline physiological parameters. This comparison serves as a touchstone, enabling the determination of stress levels with reference to an individual's baseline parameters.
[00030] The method's versatility extends to transmitting the determined stress level to a remote server for further analysis. This step opens the door to deeper insights and trend analysis, enabling users to comprehend their stress patterns over time.
[00031] The foundation of the method is fortified by its support for various non-invasive sensors. These sensors, encompassing skin conductance, heart rate, oxygen saturation, body temperature, and respiration rate, cater to a spectrum of physiological responses, enriching the comprehensiveness and accuracy of stress measurement.
[00032] Intricacy meets practicality through the provision of stress reduction recommendations. This value-added aspect augments the method by offering users personalized suggestions for stress management, elevating it beyond mere measurement to proactive well-being support.
[00033] In essence, the method for measuring physiological response to stress embodies a harmonious blend of advanced technology and individual well-being. By seamlessly integrating non-invasive sensing, data processing, real-time display, and even remote analysis, it forges a path towards stress awareness and management. This method not only empowers users with self-awareness but also catalyzes a journey towards holistic well-being by empowering users to actively address and mitigate stress responses.
[00034]
Brief Description of the Drawings
[00035] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00036] FIG. 1 represents an architectural overview of a system for measuring physiological response to stress, according to some embodiments of the present disclosure.

[00037] FIG. 2 shows an exemplary detailed schematic flow diagram of a method for measuring physiological response to stress, according to some embodiments of the present disclosure.
[00038]
Detailed Description
[00039] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00040] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00041] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
[00042] Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
[00043] The present invention relates generally to medical diagnostic devices, and more specifically, to a non-invasive device designed to measure and analyze physiological responses resulting from stress. The device incorporates multi-modal sensors and analytic methods to detect, quantify, and interpret indicators of stress by assessing various physiological parameters. These parameters may include but are not limited to heart rate variability, skin conductance, pupil dilation, respiratory rate, and cortisol levels detected non-invasively from the skin surface. By providing real-time data and insights, the invention offers an objective evaluation of an individual's stress levels, which can aid in therapeutic interventions, monitoring, and personal well-being assessments.
[00044] Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
[00045] Stress is a physiological and psychological response to challenging situations that can have adverse effects on an individual's health if not effectively managed. The development of a system capable of accurately measuring stress responses non-invasively provides valuable insights into the body's reactions and enables individuals to proactively manage their stress levels. This disclosure delves into the intricacies of such a system, highlighting its core components, mechanisms, and potential implications.
[00046] In an increasingly fast-paced and demanding world, stress has become a significant concern affecting individuals' physical and mental well-being. To address this, the sophisticated system 100 for measuring physiological responses to stress has been developed. According to a pictorial portrayal in FIG. 1, illustrating an architectural setup of the system 100, employs a non-invasive sensor 102 to detect various physiological parameters indicative of stress responses, a processing unit 104 to analyze the data, and a display unit 106 to present stress levels to users. This disclosure provides a comprehensive exploration of this innovative stress measurement system 100, discussing its components, functionalities, applications, benefits, and potential future developments.
[00047] In yet another embodiment, the cornerstone of this stress measurement system is a non-invasive sensor designed to detect various physiological parameters indicative of stress responses. The system includes an array of sensor options, such as skin conductance sensor measures the electrical conductance of the skin, reflecting changes in sweat gland activity, a classic physiological indicator of stress. Heart rate monitors the heart rate, which tends to increase during stress as a result of the body's "fight or flight" response. Pulse oximeter measures oxygen saturation levels in the blood, offering insights into how well the body is oxygenating under stress. Detects changes in skin temperature, which can occur due to blood flow changes during stress responses. Measures the rate of breathing, which often becomes rapid and shallow during periods of stress.
[00048] The processing unit is the brains behind the system, responsible for analyzing the data collected by the non-invasive sensor. This unit employs sophisticated algorithms to interpret the sensor data and determine the user's stress level accurately. The display unit serves as the interface between the user and the system. It presents the determined stress level in a user-friendly format, allowing individuals to be aware of their stress levels in real-time. Additionally, the display unit might provide recommendations for stress reduction based on the detected stress level.
[00049] The non-invasive sensor collects physiological data from the user, such as skin conductance, heart rate, blood oxygen levels, temperature, and respiration rate. The processing unit receives the data from the sensor and compares it to a database of baseline physiological parameters. By assessing deviations from these baselines, the system determines the stress level of the individual. More significant deviations might indicate higher stress levels.
[00050] The determined stress level is then presented on the display unit. This can be shown as a numerical value or a visual indicator, such as color-coded zones (e.g., green for low stress, yellow for moderate stress, red for high stress). The display unit can also provide personalized recommendations for stress reduction based on the detected stress level. For instance, if the system detects high stress, it might suggest deep breathing exercises, mindfulness techniques, or taking a short break.
[00051] Individuals can utilize this system to monitor their stress levels throughout the day, gaining insights into what triggers their stress and how different activities impact their physiological responses. Employers can introduce this system in workplaces to promote employee well-being. It can help identify high-stress periods during the workday and prompt employees to engage in stress-reduction practices.
[00052] Healthcare professionals can incorporate this system in stress-related therapies and treatments, monitoring patients' stress levels and tailoring interventions accordingly. Researchers can employ this system to gather large-scale physiological stress response data, aiding in the understanding of stress patterns in various populations.
[00053] The system 100 could be integrated into wearable devices like smartwatches or fitness trackers, allowing for continuous stress monitoring without the need for separate sensors. Advanced machine learning algorithms could be employed to improve stress level accuracy by considering individual variations and refining stress level predictions.
[00054] Future versions of the system 100 might offer real-time feedback to guide users through stress reduction exercises, promoting immediate relaxation. Incorporating a communication module to transmit stress level data to a remote server would enable advanced analytics, such as identifying stress trends over time.
[00055] The development of a system 100 for measuring physiological responses to stress marks a significant advancement in the field of health technology. By utilizing non-invasive sensors, advanced processing units, and user-friendly display interfaces, this system empowers individuals to actively manage their stress levels and make informed lifestyle choices. With its broad applications and potential for future enhancements, this stress measurement system holds promise for enhancing personal well-being, workplace productivity, and stress-related research.
[00056] This description presents embodiments for a method 200 designed to measure physiological responses to stress. Figuratively depicted in FIG. 2, representing a flow diagram of the method 200 that employs a non-invasive sensor to (at step 202) detect stress-indicative physiological parameters, a processing unit to (at step 204) analyze the collected data, and a display interface to (at step 206) present the stress level to the user. These embodiments cover various aspects of the method 200, including baseline comparison, remote analysis, sensor utilization, and stress reduction recommendations. The method 200 involves detecting at least one physiological parameter indicative of a stress response using a non-invasive sensor. For example, the sensor can monitor parameters such as skin conductance, heart rate, oxygen saturation, body temperature, or respiration rate.
[00057] Once the physiological parameter is detected, it is transmitted to a processing unit. This unit is responsible for receiving and handling the collected data for further analysis. The processing unit utilizes algorithms to analyze the received parameter data and determine the stress level experienced by the user. The stress level determination considers the deviation of the parameter data from baseline levels.
[00058] The determined stress level is then presented to the user through a display interface. The display can represent the stress level using numerical values, graphical indicators, or color-coded zones (e.g., green for low stress, yellow for moderate stress, red for high stress). In addition to these steps, this embodiment involves comparing the detected physiological parameter with a database of baseline physiological parameters. The baseline data reflects the user's typical physiological state under normal conditions.
[00059] By comparing the detected physiological parameter with the baseline, the processing unit enhances the accuracy of stress level determination. Greater deviations from baseline parameters may indicate higher stress levels. Alongside these steps, this embodiment includes transmitting the determined stress level data to a remote server. This allows for more comprehensive analysis and tracking of stress trends over time.
[00060] The remote server can employ advanced analytics to provide deeper insights into the user's stress patterns, potential triggers, and long-term stress trends. In addition to the elements discussed, this embodiment encompasses the provision of stress reduction recommendations based on the determined stress level. These recommendations can be personalized and tailored to the user's stress profile.
[00061] The processing unit can suggest stress reduction techniques, such as deep breathing exercises, mindfulness practices, or physical activities, all based on the user's stress level. The disclosed embodiments outline a comprehensive method 200 for measuring physiological responses to stress. These embodiments cover diverse aspects, including sensor utilization, stress level determination, baseline comparison, remote analysis, and stress reduction recommendations. By offering accurate stress assessments and personalized recommendations, this method has the potential to contribute significantly to individual well-being, stress management, and health optimization.
[00062] Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are contained in the above discussions, these should not be construed as limitations on the scope of the subject matter described herein, but rather as descriptions of features that may be specific to particular embodiments. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable sub-combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a sub-combination or variation of a sub-combination.
[00063] The term “memory,” as used herein relates to a volatile or persistent medium, such as a magnetic disk, or optical disk, in which a computer can store data or software for any duration. Optionally, the memory is non-volatile mass storage such as physical storage media. Furthermore, a single memory may encompass and in a scenario wherein computing system is distributed, the processing, memory and/or storage capability may be distributed as well.
[00064] Throughout the present disclosure, the term ‘server’ relates to a structure and/or module that include programmable and/or non-programmable components configured to store, process and/or share information. Optionally, the server includes any arrangement of physical or virtual computational entities capable of enhancing information to perform various computational tasks.
[00065] Throughout the present disclosure, the term “network” relates to an arrangement of interconnected programmable and/or non-programmable components that are configured to facilitate data communication between one or more electronic devices and/or databases, whether available or known at the time of filing or as later developed. Furthermore, the network may include, but is not limited to, one or more peer-to-peer network, a hybrid peer-to-peer network, local area networks (LANs), radio access networks (RANs), metropolitan area networks (MANS), wide area networks (WANs), all or a portion of a public network such as the global computer network known as the Internet, a private network, a cellular network and any other communication system or systems at one or more locations.
[00066] Throughout the present disclosure, the term “process”* relates to any collection or set of instructions executable by a computer or other digital system so as to configure the computer or the digital system to perform a task that is the intent of the process.
[00067] Throughout the present disclosure, the term ‘Artificial intelligence (AI)’ as used herein relates to any mechanism or computationally intelligent system that combines knowledge, techniques, and methodologies for controlling a bot or other element within a computing environment. Furthermore, the artificial intelligence (AI) is configured to apply knowledge and that can adapt it-self and learn to do better in changing environments. Additionally, employing any computationally intelligent technique, the artificial intelligence (AI) is operable to adapt to unknown or changing environment for better performance. The artificial intelligence (AI) includes fuzzy logic engines, decision-making engines, preset targeting accuracy levels, and/or programmatically intelligent software.

Claims
I/We Claim:
1. A system for measuring physiological response to stress, comprising:
a non-invasive sensor configured to detect at least one physiological parameter indicative of a stress response;
a processing unit coupled to the sensor, the processing unit configured to receive data from the sensor and determine a stress level based on the received data; and
a display unit configured to present the determined stress level to a user.
2. The system of claim 1, wherein the non-invasive sensor is selected from the group consisting of: a skin conductance sensor, a heart rate monitor, a pulse oximeter, a temperature sensor, and a respiration rate monitor.
3. The system of claim 1, further comprising: a communication module configured to transmit the determined stress level to a remote server for analysis.
4. The system of claim 1, wherein the processing unit further comprises: a memory unit storing a database of baseline physiological parameters, the processing unit comparing the received data to the baseline parameters to determine the stress level.
5. The system of claim 1, wherein the display unit further provides recommendations to the user for stress reduction based on the determined stress level.

6. A method for measuring physiological response to stress, the method comprising the steps of:
detecting at least one physiological parameter indicative of a stress response using a non-invasive sensor;
transmitting the detected parameter to a processing unit; determining a stress level based on the received parameter data; and
displaying the determined stress level to a user.
7. The method of claim 6, further comprising the step of: comparing the detected physiological parameter with a database of baseline physiological parameters to determine the stress level.
8. The method of claim 6, further comprising the step of: transmitting the determined stress level to a remote server for further analysis.
9. The method of claim 6, wherein the step of detecting the physiological parameter comprises: monitoring the user's skin conductance, heart rate, oxygen saturation, body temperature, or respiration rate.
10. The method of claim 6, further comprising the step of: providing recommendations to the user for stress reduction based on the determined stress level.

NON-INVASIVE DEVICE FOR MEASURING PHYSIOLOGICAL RESPONSE TO STRESS
Abstract
A system designed to evaluate an individual's physiological response to stress. This innovative system encompasses a non-invasive sensor, adept at capturing one or more physiological parameters that typify a stress response. In tandem with the sensor, a processing unit is integrated, proficiently interpreting the sensor data to ascertain a stress level. The determined stress level is subsequently visualized for the user via a dedicated display unit, providing real-time feedback on their physiological state in response to stressors. , Claims:Claims
I/We Claim:
1. A system for measuring physiological response to stress, comprising:
a non-invasive sensor configured to detect at least one physiological parameter indicative of a stress response;
a processing unit coupled to the sensor, the processing unit configured to receive data from the sensor and determine a stress level based on the received data; and
a display unit configured to present the determined stress level to a user.
2. The system of claim 1, wherein the non-invasive sensor is selected from the group consisting of: a skin conductance sensor, a heart rate monitor, a pulse oximeter, a temperature sensor, and a respiration rate monitor.
3. The system of claim 1, further comprising: a communication module configured to transmit the determined stress level to a remote server for analysis.
4. The system of claim 1, wherein the processing unit further comprises: a memory unit storing a database of baseline physiological parameters, the processing unit comparing the received data to the baseline parameters to determine the stress level.
5. The system of claim 1, wherein the display unit further provides recommendations to the user for stress reduction based on the determined stress level.

6. A method for measuring physiological response to stress, the method comprising the steps of:
detecting at least one physiological parameter indicative of a stress response using a non-invasive sensor;
transmitting the detected parameter to a processing unit; determining a stress level based on the received parameter data; and
displaying the determined stress level to a user.
7. The method of claim 6, further comprising the step of: comparing the detected physiological parameter with a database of baseline physiological parameters to determine the stress level.
8. The method of claim 6, further comprising the step of: transmitting the determined stress level to a remote server for further analysis.
9. The method of claim 6, wherein the step of detecting the physiological parameter comprises: monitoring the user's skin conductance, heart rate, oxygen saturation, body temperature, or respiration rate.
10. The method of claim 6, further comprising the step of: providing recommendations to the user for stress reduction based on the determined stress level.